A new maximum power point tracking controller for photovoltaic power generation

Yang, Chen; Smedley, K.M.; Vacher, F.; Brouwer, Jack

doi:10.1109/apec.2003.1179176

Cited by 27 publications

(4 citation statements)

References 8 publications

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“…This technique [67][68][69][70][71][72] compares previously stored values. Figure 8 depicts the Look-up Table method.…”

Section: Look-up Tablementioning

confidence: 99%

Maximum power point tracking techniques for low-cost solar photovoltaic applications – Part II: Mathematical Calculation and Measurement and Comparison, criteria on choices and suitable MPPT techniques

2024

Archives of Electrical Engineering

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In the last decade, there has been a substantial surge in the advancement of research into the maximum power point tracking (MPPT) controller. The MPPT approaches, on the other hand, continue to be in high demand due to the ease and simplicity with which tracking techniques can be implemented on the maximum power point (MPP). Diverse MPPT approaches and their modifications from various literature are categorized and thoroughly explored in this work, which is divided into two sections. The discussions are centered on the primary goal of attaining the most extraordinary feasible MPPT technique that produces the best results at the lowest possible expense. In order to determine which MPPT approaches to use, evaluations from earlier literature are used to guide the decision. In this section, we will examine the evaluation of the MPPT technique in two sections. Previously, in Part I, we explored the MPPT techniques based on constant parameters and trial-and-error. Part II of this article will examine the MPPT technique, which is based on mathematical computation, measurement, and comparison, and the algorithm development that has occurred in recent years. Furthermore, this section's assessment for selecting MPPT

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“…This technique [67][68][69][70][71][72] compares previously stored values. Figure 8 depicts the Look-up Table method.…”

Section: Look-up Tablementioning

confidence: 99%

Maximum power point tracking techniques for low-cost solar photovoltaic applications – Part II: Mathematical Calculation and Measurement and Comparison, criteria on choices and suitable MPPT techniques

2024

Archives of Electrical Engineering

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“…Power can only flow in one way via a standard buck or boost converter since diodes are used in such unidirectional systems. By connecting an anti-parallel diode to a MOSFET or IGBT, current may flow in either way, solving the issue [18].…”

Section: Non-isolated Bi-directional Dc-dc Convertersmentioning

confidence: 99%

“…That calls for the converter's reverse operation. [15][16][17][18] The bidirectional converter is the last piece of the charge/discharge battery. The temperature's influence on the IV characteristic is seen in Figure 2.5.…”

Section: Bi-directional Converter For Battery Chargingmentioning

confidence: 99%

Enhancement of Energy Through the Synchronized Source of Wind With Conventional Solar System

2023

IRJMETS

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In this work, we present the hybrid photovoltaic energy model. Hybrid photovoltaic, wind, and battery systems should be developed and implemented. The stated method is not just simple because of the reduced number of components; the exact electrical circuitry also ensures that it is right. The MATLAB program enabled us to get the electrical information in real time. Various voltage and current sensors of the global system will be acquired using the data acquisition card, as previously discussed and agreed upon. The ruling shall be carried out as stated. We designed and constructed a battery of sensors to help us get there. The data collected by these sensors is processed using MATLAB, and the findings are shown in the appropriate format on a computer screen. A general strategy for the administration of power has been proposed. To determine the load specifications for energy system and battery management, an analysis of the energy flow was conducted. The shown hybrid power system and its management control technique are clearly suited for practical applications like powering a distinct area or pumping water in that region. The fact that this argument has been made demonstrates the claim beyond any reasonable doubt.

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“…Sampling techniques like Perturb and Observe [8], Centered Differentiation [9], Incremental Conductance [10] and Feedback techniques were based on direct samples used earlier until 2007. But many new MPPT Intelligent techniques such as Fuzzy logic [11]- [16], Artificial Neural Network [17], Estimated perturb and perturb [18], Genetic Algorithm [19], Adaptive Neuro-Fuzzy [20] and particle swarm optimization [21]- [22] based MPPT, etc., have been reported since then based on advanced knowledge of the PV panel characteristics. It is justified that the Fuzzy logic system based Intelligent techniques in PV give Good performances, Fast responses, No overshoot and less Fluctuations for rapid temperature and irradiance variations.…”

Section: Introductionmentioning

confidence: 99%

Performance Comparison of PID and Fuzzy Controllers in Distributed MPPT

Sharma

Jain

2015

IJPEDS

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With an increase of Green Technology applications, Photovoltaic have emerged as the most appropriate solution for electricity generation purposes. However, due to variable temperature and irradiance, under the partial or shaded conditions Maximum Power Point Tracking is needed to determine highest efficiency of the system. The paper describes dynamic modeling and control of variable temperature and irradiance on solar panel in SIMULINK-MATLAB environment. The implementation of Buck Converter is used for power switching and impedance matching on connecting the panel to the load. The effectiveness of the model, with enhanced efficiency through voltage stabilization, is performed using Proportional-Integral-Derivative and Fuzzy-Logic-Controllers. A comparative study is made for PID and FLC on the basis of outputs to deal with online set point variations. FLC gives closer results to Standard Test Conditions when compared with PID. The Fuzzy system developed, using tested membership functions serve as a platform for sustainable standalone and grid-based applications using distributed MPPT. With an increase of Green Technology applications, Photovoltaic have emerged as the most appropriate solution for electricity generation purposes. However, due to variable temperature and irradiance, under the partial or shaded conditions Maximum Power Point Tracking is needed to determine highest efficiency of the system. The paper describes dynamic modeling and control of variable temperature and irradiance on solar panel in SIMULINK-MATLAB environment. The implementation of Buck Converter is used for power switching and impedance matching on connecting the panel to the load. The effectiveness of the model, with enhanced efficiency through voltage stabilization, is performed using Proportional-Integral-Derivative and Fuzzy-Logic-Controllers. A comparative study is made for PID and FLC on the basis of outputs to deal with online set point variations. FLC gives closer results to Standard Test Conditions when compared with PID. The Fuzzy system developed, using tested membership functions serve as a platform for sustainable standalone and grid-based applications using distributed MPPT. <br />

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A new maximum power point tracking controller for photovoltaic power generation

Cited by 27 publications

References 8 publications

Maximum power point tracking techniques for low-cost solar photovoltaic applications – Part II: Mathematical Calculation and Measurement and Comparison, criteria on choices and suitable MPPT techniques

Maximum power point tracking techniques for low-cost solar photovoltaic applications – Part II: Mathematical Calculation and Measurement and Comparison, criteria on choices and suitable MPPT techniques

Enhancement of Energy Through the Synchronized Source of Wind With Conventional Solar System

Performance Comparison of PID and Fuzzy Controllers in Distributed MPPT

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